如何有效地迭代'Map'中的每个条目?

如果我有一个在Java中实现Map接口的对象,并且我希望迭代其中包含的每个对,那么通过该映射的最有效方式是什么?

元素的排序是否依赖于我为界面设计的特定映射实现?


Map<String, String> map = ...
for (Map.Entry<String, String> entry : map.entrySet())
{
    System.out.println(entry.getKey() + "/" + entry.getValue());
}

总结其他答案并将其与我所知道的结合起来,我找到了10个主要方法来做到这一点(见下文)。 另外,我写了一些性能测试(见下面的结果)。 例如,如果我们想要查找地图的所有键和值的总和,我们可以这样写:

  • 使用迭代器Map.Entry

    long i = 0;
    Iterator<Map.Entry<Integer, Integer>> it = map.entrySet().iterator();
    while (it.hasNext()) {
        Map.Entry<Integer, Integer> pair = it.next();
        i += pair.getKey() + pair.getValue();
    }
    
  • 使用foreachMap.Entry

    long i = 0;
    for (Map.Entry<Integer, Integer> pair : map.entrySet()) {
        i += pair.getKey() + pair.getValue();
    }
    
  • 从Java 8使用forEach

    final long[] i = {0};
    map.forEach((k, v) -> i[0] += k + v);
    
  • 使用keySetforeach

    long i = 0;
    for (Integer key : map.keySet()) {
        i += key + map.get(key);
    }
    
  • 使用keySet迭代器

    long i = 0;
    Iterator<Integer> itr2 = map.keySet().iterator();
    while (itr2.hasNext()) {
        Integer key = itr2.next();
        i += key + map.get(key);
    }
    
  • 使用forMap.Entry

    long i = 0;
    for (Iterator<Map.Entry<Integer, Integer>> entries = map.entrySet().iterator(); entries.hasNext(); ) {
        Map.Entry<Integer, Integer> entry = entries.next();
        i += entry.getKey() + entry.getValue();
    }
    
  • 使用Java 8 Stream API

    final long[] i = {0};
    map.entrySet().stream().forEach(e -> i[0] += e.getKey() + e.getValue());
    
  • 使用Java 8 Stream API并行

    final long[] i = {0};
    map.entrySet().stream().parallel().forEach(e -> i[0] += e.getKey() + e.getValue());
    
  • 使用Apache Collections IterableMap

    long i = 0;
    MapIterator<Integer, Integer> it = iterableMap.mapIterator();
    while (it.hasNext()) {
        i += it.next() + it.getValue();
    }
    
  • 使用Eclipse(CS)集合的MutableMap

    final long[] i = {0};
    mutableMap.forEachKeyValue((key, value) -> {
        i[0] += key + value;
    });
    
  • 性能测试 (mode = AverageTime,系统= Windows 8.1 64位,Intel i7-4790 3.60 GHz,16 GB)

  • 对于小地图(100个元素),得分0.308是最好的

    Benchmark                          Mode  Cnt  Score    Error  Units
    test3_UsingForEachAndJava8         avgt  10   0.308 ±  0.021  µs/op
    test10_UsingEclipseMap             avgt  10   0.309 ±  0.009  µs/op
    test1_UsingWhileAndMapEntry        avgt  10   0.380 ±  0.014  µs/op
    test6_UsingForAndIterator          avgt  10   0.387 ±  0.016  µs/op
    test2_UsingForEachAndMapEntry      avgt  10   0.391 ±  0.023  µs/op
    test7_UsingJava8StreamApi          avgt  10   0.510 ±  0.014  µs/op
    test9_UsingApacheIterableMap       avgt  10   0.524 ±  0.008  µs/op
    test4_UsingKeySetAndForEach        avgt  10   0.816 ±  0.026  µs/op
    test5_UsingKeySetAndIterator       avgt  10   0.863 ±  0.025  µs/op
    test8_UsingJava8StreamApiParallel  avgt  10   5.552 ±  0.185  µs/op
    
  • 对于具有10000个元素的地图,得分37.606是最好的

    Benchmark                           Mode   Cnt  Score      Error   Units
    test10_UsingEclipseMap              avgt   10    37.606 ±   0.790  µs/op
    test3_UsingForEachAndJava8          avgt   10    50.368 ±   0.887  µs/op
    test6_UsingForAndIterator           avgt   10    50.332 ±   0.507  µs/op
    test2_UsingForEachAndMapEntry       avgt   10    51.406 ±   1.032  µs/op
    test1_UsingWhileAndMapEntry         avgt   10    52.538 ±   2.431  µs/op
    test7_UsingJava8StreamApi           avgt   10    54.464 ±   0.712  µs/op
    test4_UsingKeySetAndForEach         avgt   10    79.016 ±  25.345  µs/op
    test5_UsingKeySetAndIterator        avgt   10    91.105 ±  10.220  µs/op
    test8_UsingJava8StreamApiParallel   avgt   10   112.511 ±   0.365  µs/op
    test9_UsingApacheIterableMap        avgt   10   125.714 ±   1.935  µs/op
    
  • 对于有100000个元素的地图,分数1184.767是最好的

    Benchmark                          Mode   Cnt  Score        Error    Units
    test1_UsingWhileAndMapEntry        avgt   10   1184.767 ±   332.968  µs/op
    test10_UsingEclipseMap             avgt   10   1191.735 ±   304.273  µs/op
    test2_UsingForEachAndMapEntry      avgt   10   1205.815 ±   366.043  µs/op
    test6_UsingForAndIterator          avgt   10   1206.873 ±   367.272  µs/op
    test8_UsingJava8StreamApiParallel  avgt   10   1485.895 ±   233.143  µs/op
    test5_UsingKeySetAndIterator       avgt   10   1540.281 ±   357.497  µs/op
    test4_UsingKeySetAndForEach        avgt   10   1593.342 ±   294.417  µs/op
    test3_UsingForEachAndJava8         avgt   10   1666.296 ±   126.443  µs/op
    test7_UsingJava8StreamApi          avgt   10   1706.676 ±   436.867  µs/op
    test9_UsingApacheIterableMap       avgt   10   3289.866 ±  1445.564  µs/op
    
  • 图(性能测试取决于地图大小)

    在这里输入图片说明

    表(性能测试取决于地图大小)

              100     600      1100     1600     2100
    test10    0.333    1.631    2.752    5.937    8.024
    test3     0.309    1.971    4.147    8.147   10.473
    test6     0.372    2.190    4.470    8.322   10.531
    test1     0.405    2.237    4.616    8.645   10.707
    test2     0.376    2.267    4.809    8.403   10.910
    test7     0.473    2.448    5.668    9.790   12.125
    test9     0.565    2.830    5.952   13.220   16.965
    test4     0.808    5.012    8.813   13.939   17.407
    test5     0.810    5.104    8.533   14.064   17.422
    test8     5.173   12.499   17.351   24.671   30.403
    

    所有的测试都在GitHub上。


    在Java 8中,您可以使用新的lambdas特性快速完成工作:

     Map<String,String> map = new HashMap<>();
     map.put("SomeKey", "SomeValue");
     map.forEach( (k,v) -> [do something with key and value] );
    
     // such as
     map.forEach( (k,v) -> System.out.println("Key: " + k + ": Value: " + v));
    

    kv的类型将由编译器推断,并且不再需要使用Map.Entry

    十分简单!

    链接地址: http://www.djcxy.com/p/17957.html

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